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Field
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interdisciplinary teams. Knowledge of tools and methods relevant to the work plan. Suitability of the candidate’s profile for the proposed work plan. The selection panel reserves the right to request additional
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language processing and other AI methods in health and life sciences datasets Expertise in advanced computational methods such as network analysis, graph databases and structured and unstructured data mining tools
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manufacturing and separation technologies into an intensified process flowsheet. Design multi-criteria decision‑support tools capturing cost, carbon, land‑use, circularity and resilience metrics. Quantify and
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solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and
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and data handling - information provided in the CV and/or in the motivation letter; Demonstrated in-depth knowledge of geoprocessing and spatial analysis tools - information provided in the CV and/or in
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the research team, by contributing to multiple research projects, including: • writing for ethics applications. • developing data collection tools. • recruitment of participants into studies and
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project with the aim of: To optimize tools that perform a robust evaluation of radiation therapy plans and to optimize tools that allow the automation of the robust optimization procedure for the worst-case
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training and the creation of art using AI tools are particularly relevant. Other possible research topics include artistic exploration of how AI affects creative processes, audience engagement with art, AI
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of the candidate shall contribute to developing tools and knowledge on the interactions between CEACs and critical biological targets (e.g., nuclear receptors in cold-adapted Arctic species, combining
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization